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Business Area: Commercial Aerospace
Department: Smart Analytics, Innovation & Sustainability
Work Location: 600 West Camp Road
About the role
Role Overview
We are seeking an Assistant / Principal Data Scientist to join Commercial Aerospace, delivering practical, real‑world analytics and AI solutions for operational and engineering use cases. The role focuses on applying advanced data analytics, machine learning, optimisation, statistical modelling, and emerging Generative AI (GenAI) and agentic approaches to solve complex problems and deliver measurable impact.
This is an individual contributor role with exposure to enterprise‑scale data platforms and cloud‑governed environments, working closely with both business stakeholders to understand operational needs and technical teams to design and deliver production‑ready solutions that support informed decision‑making.
Key Responsibilities
Required Qualifications & Experience
The ideal candidate will possess a strong background in a quantitative field such as Data Science, Statistics, Computer Science, or a related discipline, complemented by extensive experience in a data analytics or data science role, preferably within an aerospace or engineering context.
Preferred/Advantageous Skills & Experience
Soft Skills & Attributes
About Company
ST Engineering is a global technology, defence and engineering group with a diverse portfolio of businesses across the aerospace, smart city, defence and public security segments. The Group harnesses technology and innovation to solve real-world problems, enabling a more secure and sustainable world. Headquartered in Singapore, it has operations spanning Asia, Europe, the Middle East and the U.S., serving customers in more than 100 countries. ST Engineering reported revenue of over $12b in 2025 and ranks among the largest companies listed on the Singapore Exchange. It is a component stock of MSCI Singapore, FTSE Straits Times Index and Dow Jones Best-in-Class Asia Pacific Index
About Commercial Aerospace business
ST Engineering's Commercial Aerospace business is a world-class Original Equipment Manufacturer (OEM) and Maintenance, Repair and Overhaul (MRO) service provider with proven solutions for practically every stage of an aircraft life cycle. With 50 years of reputable track record in aviation, backed by a highly experienced team of engineers and technicians across facilities in Asia Pacific, the U.S. and Europe, we know what it takes to keep the world flying safely.
Job ID: 147380555
Skills:
Pyspark, Sql, Python, Excel, Segmentation, Forecasting, Regression
Skills:
SAS, Tableau, HTML, React, Nltk, Typescript, Docker, XGBoost, Flask, Python, AWS, Express.Js, CSS, Sql, Ms Power Bi, Vue.JS, Git, Pandas, Matplotlib, Qlik, FastAPI, Kubernetes, scikit-learn, Hugging Face Transformers, Pinecone, R, Chroma, LangChain, spaCy, FAISS, Microstrategy, LlamaIndex
Skills:
Ml, Artificial Intelligence, Sql, Tensorflow, Nlp, Gcp, Pytorch, DB2, Postgres, MongoDB, Keras, Azure, Kubernetes, Python, AWS, Amazon Code Whisperer, Hugging Face, Github Copilot, Data Analysis
Skills:
Python, AI-powered microservices, agentic workflows, GenAI technologies, AWS SageMaker, cloud-based AI platforms, large language models, production ML workflows, RAG pipelines
Skills:
Data Integration, Python, Sql, Machine learning methods, Econometrics
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